TL;DR: Marketing OKRs fail when teams measure what they produce instead of what they change. Publishing 12 blog posts is a task. Increasing organic trial signups from 85 to 220 per month is a Key Result. The shift from output to outcome thinking is the single biggest unlock for marketing teams trying to make OKRs work.

Key Takeaways

• Output ≠ outcome. "Publish 12 blog posts" is output. "Increase organic trial signups from 85 to 220" is outcome. Only the second one tells you if marketing is working.

• Marketing OKRs should connect to revenue. Even brand OKRs should have a traceable (if indirect) connection to pipeline or retention.

• Attribution is hard but not an excuse. Marketing teams that avoid OKRs because "attribution is complex" are avoiding accountability. Set the outcome, measure what you can, acknowledge uncertainty.

• Vanity metrics are not Key Results. Impressions, follower count, email open rate: none of these are Key Results unless they demonstrably connect to something the business cares about.

• 3–5 OKRs per team per quarter max. Marketing teams often set 15 OKRs because "everything is a priority." That's how you end up with no priorities.

Why marketing OKRs are hard

Marketing has longer feedback loops than sales or engineering. A blog post published today might influence a deal that closes in six months. A brand campaign runs for a quarter before you know if it worked. Attribution models are imperfect and everyone knows it.

This creates a temptation to set easy OKRs: ones with short feedback loops and clean measurement. Which means marketing teams end up measuring what they're doing (outputs) instead of what's changing (outcomes).

The right response isn't to avoid measurement. It's to get precise about which leading indicators actually predict the business outcomes you care about, and track those.

OKR examples: demand generation

OKR 1: Build the pipeline the sales team can't live without

Objective: Become the primary source of pipeline for the commercial sales team
KR1: Increase MQL-to-SQL conversion rate from 18% to 32% (better qualification, not more volume)
KR2: Generate 45 marketing-sourced SQLs per month by Q3 (current: 22)
KR3: Achieve $2.8M in marketing-influenced pipeline by end of quarter

OKR 2: Make paid acquisition efficient at scale

Objective: Prove that paid acquisition can grow without proportionally growing CAC
KR1: Reduce blended CAC from $4,200 to $2,900 while holding MQL volume flat
KR2: Improve paid conversion rate (click → trial) from 2.1% to 3.8%
KR3: Increase LTV:CAC ratio from 2.4x to 3.8x for paid cohorts

OKR examples: content and SEO

OKR 3: Own the search terms our ICP types at 2am

Objective: Establish Brev as the authoritative voice for ops and OKR content KR1: Increase organic trial signups from 85 to 220 per month via SEO-driven content
KR2: Rank in top 3 positions for 8 target keywords in the ops/OKR category (currently 0 of 8)
KR3: Increase AI citation rate (Perplexity, Claude, ChatGPT) for "OKR software" and related queries from ~0 to measurable presence in 5 target queries

OKR 4: Make the blog generate pipeline, not just traffic

Objective: Turn content from an awareness channel into a conversion channel
KR1: Increase blog-to-trial conversion rate from 0.4% to 1.8%
KR2: Add conversion paths (in-line CTAs, exit intent) to the 10 highest-traffic posts
KR3: Generate 30 demo requests directly attributable to blog content (UTM-tracked) per month by Q3 end

OKR examples: brand

OKR 5: Make "Brev" mean something in the ops category

Objective: Establish Brev as a recognized brand in the VP Ops / Chief of Staff community
KR1: Achieve 40%+ unaided brand awareness in our ICP segment (measured via quarterly survey, n=200)
KR2: Secure 5 founder/practitioner mentions in industry newsletters or podcasts with 10K+ audience
KR3: Increase direct navigation (direct traffic) to brev.io by 60% vs. Q2

OKR examples: product marketing

OKR 6: Make the value prop land before the demo

Objective: Ensure prospects understand what Brev does before they talk to a human
KR1: Increase "understands core value prop" rating in post-demo survey from 61% to 88%
KR2: Reduce "confused about what Brev actually does" as a loss reason from 22% to under 5%
KR3: Publish competitive teardowns for Lattice, Quantive, and Monday that sales uses in 80%+ of competitive deals

OKR 7: Own the narrative when prospects research us

Objective: Control the story prospects find when they Google Brev before a demo
KR1: Publish 3 customer case studies with specific ROI metrics by end of quarter
KR2: Achieve 4.4+ star rating on G2 with 25+ reviews (current: 3.8, 11 reviews)
KR3: Reduce "couldn't find enough information about Brev" as a reason for not booking a demo from 38% to under 10%

OKR examples: marketing ops

OKR 8: Build the measurement infrastructure marketing has been missing

Objective: Know exactly which marketing activities drive pipeline, with confidence
KR1: Implement full-funnel attribution model tracking MQL → SQL → Opportunity → Close for all channels
KR2: Reduce "marketing source unknown" in CRM from 62% of deals to under 10%
KR3: Deliver weekly marketing performance dashboard to sales and leadership, replacing ad hoc reporting

Common marketing OKR mistakes

Impressions and follower count as Key Results These are vanity metrics. They don't connect to revenue and they're easy to game. Replace with metrics that actually indicate something changed. Outputs as Key Results "Publish 3 case studies," "run 2 webinars," "send 12 emails": these are tasks. Put them in a project tracker, not an OKR. OKRs with no connection to pipeline Brand OKRs are legitimate, but they should have a downstream connection to something measurable. "Increase unaided brand awareness" matters because it affects conversion rates down the funnel: make that connection explicit. Too many OKRs If the marketing team has 12 OKRs this quarter, nothing is actually a priority. Pick the 3 things that would most move the needle and do those exceptionally well.

How Goal Agents keep marketing OKRs current

Marketing OKR data lives in too many places: Google Analytics for SEO, HubSpot for pipeline, G2 for reviews, Salesforce for attribution. Manually pulling all of this into a weekly check-in is exactly the work that gets skipped.

Brev's Goal Agents connect to HubSpot, Salesforce, and other marketing data sources. Pipeline influenced, MQL volume, conversion rates: these update automatically as the data changes. The CMO walks into the WBR with current numbers, not a manually-assembled spreadsheet from three days ago.

FAQ

How do you handle attribution for marketing OKRs? Agree on the attribution model before you set the OKRs. First-touch, last-touch, and multi-touch all give different answers: pick one and be consistent. The model doesn't have to be perfect; it has to be consistent enough to track improvement over time.

Should marketing OKRs be set by channel or by outcome? By outcome. "Increase organic trial signups" is better than "improve SEO metrics." The channel is how you achieve the outcome, not the outcome itself.

How do you set OKRs for brand work that's hard to measure? Use proxies: survey-measured awareness, share of voice (mentions in target publications), direct traffic growth, sales cycle length for brand-aware vs. not-aware prospects. Proxies aren't perfect but they're better than no measurement.

What's the right relationship between marketing OKRs and sales OKRs? They should share at least one OKR. The handoff between marketing and sales: the MQL-to-SQL conversion: should be a shared accountability, not a finger-pointing exercise.

See also

• KPI vs OKR: what's the difference and which should you use?

• OKR check-in template: the weekly format that actually works

Written by Chris Pitchford, Co-founder of Brev | Former VP Sales, Ally.io (acquired by Microsoft as Viva Goals)